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A highly predictive signature of cognition and brain atrophy for progression to Alzheimer's dementia

BACKGROUND: Clinical trials in Alzheimer's disease need to enroll patients whose cognition will decline over time, if left untreated, in order to demonstrate the efficacy of an intervention. Machine learning models used to screen for patients at risk of progression to dementia should therefore...

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Detalhes bibliográficos
Publicado no:Gigascience
Main Authors: Tam, Angela, Dansereau, Christian, Iturria-Medina, Yasser, Urchs, Sebastian, Orban, Pierre, Sharmarke, Hanad, Breitner, John, Bellec, Pierre
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2019
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6511068/
https://ncbi.nlm.nih.gov/pubmed/31077314
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/gigascience/giz055
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